Implementation of all standard unsupervised & supervised learning algos from scratch
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Updated
Nov 1, 2016 - Jupyter Notebook
Implementation of all standard unsupervised & supervised learning algos from scratch
Contains various mini projects based on different machine learning algorithms.
Toy neural network
Implementação do algoritmo de redes neurais em python usando o numpy
Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm
Neural nets 101 for digit recognition + optimizations
Understanding neural network libraries and the automatic gradient computations (autograd) in the backward pass
Pytorch implementation of MLP, Convnet, AlexNet to predict on CIFAR dataset.
All standard machine learning algorithms from scratch in python 🐍
Custom core models with updatable layers for on device learning
This is a Neural Network class I created in Python along with some test data.
tensorflow models
Generate music with deep neural networks
In pursuit of learning Object Oriented programming and neural-nets, here I will try to implement a neural net from scratch using numpy only, in object-oriented style.
Neural Network driven MineSweeper that interacts with mines and rocks
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